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Title: Exploring the Potential Role of Upper Abdominal Peritonectomy in Advanced Ovarian Cancer Cytoreductive Surgery Using Explainable Artificial Intelligence
Authors: Laios, Alexandros
Kalampokis, Evangelos
Mamalis, Marios Evangelos
Thangavelu, Amudha
Hutson, Richard
Broadhead, Tim
Nugent, David
De Jong, Diederick
Type: Article
Subjects: FRASCATI::Medical and Health sciences
FRASCATI::Engineering and technology
Keywords: epithelial ovarian cancer
complete cytoreduction
upper abdominal peritonectomy
machine learning
explainable artificial intelligence
Issue Date: Nov-2023
Source: Cancers
Volume: 15
Issue: 22
First Page: 5386
Abstract: The Surgical Complexity Score (SCS) has been widely used to reflect the surgical effort during advanced stage epithelial ovarian cancer (EOC) cytoreduction. However, not all surgical procedures are described by this score. Using artificial intelligence, we developed and explained an algorithm that weighted the importance of all surgical procedures for the prediction of complete cytoreduction (CC0). We identified upper abdominal peritonectomy (UAP) as the most salient procedural predictor of CC0, followed by pelvic and para-aortic lymph node dissection and ileocecal resection/right hemicolectomy. The UAP was predictive of poorer progression-free survival but not overall survival. The SCS did not impact survival. We advocate thorough early inspection of the upper abdominal quadrants to ensure that CC0 is achievable.
ISSN: 2072-6694
Other Identifiers: 10.3390/cancers15225386
Appears in Collections:Department of Business Administration

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